@inproceedings{ZugNiemuellerHochgeschwenderetal.2017,
  author    = {Zug, Sebastian and Niemueller, Tim and Hochgeschwender, Nico and Seidensticker, Kai and Seidel, Martin and Friedrich, Tim and Neumann, Tobias and Karras, Ulrich and Kraetzschmar, Gerhard K. and Ferrein, Alexander},
  title     = {An Integration Challenge to Bridge the Gap Among Industry-Inspired RoboCup Leagues},
  series = {RoboCup 2016: Robot World Cup XX. RoboCup 2016.},
  booktitle = {RoboCup 2016: Robot World Cup XX. RoboCup 2016.},
  publisher = {Springer},
  address   = {Cham},
  isbn      = {978-3-319-68792-6},
  doi       = {10.1007/978-3-319-68792-6_13},
  pages     = {157 -- 168},
  year      = {2017},
  language  = {en}
}
@inproceedings{StopforthDavrajhFerrein2017,
  author    = {Stopforth, Riaan and Davrajh, Shaniel and Ferrein, Alexander},
  title     = {South African robotics entity for a collaboration initiative},
  series = {Pattern Recognition Association of South Africa and Robotics and Mechatronics International Conference (PRASA-RobMech), 2016},
  booktitle = {Pattern Recognition Association of South Africa and Robotics and Mechatronics International Conference (PRASA-RobMech), 2016},
  publisher = {IEEE},
  isbn      = {978-1-5090-3335-5},
  doi       = {10.1109/RoboMech.2016.7813144},
  pages     = {1 -- 6},
  year      = {2017},
  language  = {en}
}
@inproceedings{FerreinSchollNeumannetal.2019,
  author    = {Ferrein, Alexander and Scholl, Ingrid and Neumann, Tobias and Kr{\"u}ckel, Kai and Schiffer, Stefan},
  title     = {A system for continuous underground site mapping and exploration},
  doi       = {10.5772/intechopen.85859},
  pages     = {16 Seiten},
  year      = {2019},
  language  = {en}
}
@inproceedings{MatareSchifferFerrein2019,
  author    = {Matar{\´e}, Victor and Schiffer, Stefan and Ferrein, Alexander},
  title     = {golog++ : An integrative system design},
  series = {CogRob 2018. Cognitive Robotics Workshop : Proceedings of the 11th Cognitive Robotics Workshop 2018 co-located with 16th International Conference on Principles of Knowledge Representation and Reasoning (KR 2018) Tempe, AZ, USA, October 27th, 2018},
  booktitle = {CogRob 2018. Cognitive Robotics Workshop : Proceedings of the 11th Cognitive Robotics Workshop 2018 co-located with 16th International Conference on Principles of Knowledge Representation and Reasoning (KR 2018) Tempe, AZ, USA, October 27th, 2018},
  editor    = {Steinbauer, Gerald and Ferrein, Alexander},
  issn      = {1613-0073},
  pages     = {29 -- 35},
  year      = {2019},
  language  = {en}
}
@article{SchulteTiggesFoersterNikolovskietal.2022,
  author    = {Schulte-Tigges, Joschua and F{\"o}rster, Marco and Nikolovski, Gjorgji and Reke, Michael and Ferrein, Alexander and Kaszner, Daniel and Matheis, Dominik and Walter, Thomas},
  title     = {Benchmarking of various LiDAR sensors for use in self-driving vehicles in real-world environments},
  series = {Sensors},
  volume    = {22},
  journal   = {Sensors},
  number    = {19},
  publisher = {MDPI},
  address   = {Basel},
  issn      = {1424-8220},
  doi       = {10.3390/s22197146},
  pages     = {20 Seiten},
  year      = {2022},
  abstract  = {Abstract In this paper, we report on our benchmark results of the LiDAR sensors Livox Horizon, Robosense M1, Blickfeld Cube, Blickfeld Cube Range, Velodyne Velarray H800, and Innoviz Pro. The idea was to test the sensors in different typical scenarios that were defined with real-world use cases in mind, in order to find a sensor that meet the requirements of self-driving vehicles. For this, we defined static and dynamic benchmark scenarios. In the static scenarios, both LiDAR and the detection target do not move during the measurement. In dynamic scenarios, the LiDAR sensor was mounted on the vehicle which was driving toward the detection target. We tested all mentioned LiDAR sensors in both scenarios, show the results regarding the detection accuracy of the targets, and discuss their usefulness for deployment in self-driving cars.},
  language  = {en}
}
@inproceedings{AlhwarinFerreinGebhardtetal.2015,
  author    = {Alhwarin, Faraj and Ferrein, Alexander and Gebhardt, Andreas and Kallweit, Stephan and Scholl, Ingrid and Tedjasukmana, Osmond Sanjaya},
  title     = {Improving additive manufacturing by image processing and robotic milling},
  series = {2015 IEEE International Conference on Automation Science and Engineering (CASE), Aug 24-28, 2015 Gothenburg, Sweden},
  booktitle = {2015 IEEE International Conference on Automation Science and Engineering (CASE), Aug 24-28, 2015 Gothenburg, Sweden},
  doi       = {10.1109/CoASE.2015.7294217},
  pages     = {924 -- 929},
  year      = {2015},
  language  = {en}
}
@inproceedings{KirschMatareFerreinetal.2020,
  author    = {Kirsch, Maximilian and Matar{\´e}, Victor and Ferrein, Alexander and Schiffer, Stefan},
  title     = {Integrating golog++ and ROS for Practical and Portable High-level Control},
  series = {Proceedings of the 12th International Conference on Agents and Artificial Intelligence - Volume 2},
  booktitle = {Proceedings of the 12th International Conference on Agents and Artificial Intelligence - Volume 2},
  publisher = {SciTePress},
  address   = {Set{\´u}bal, Portugal},
  doi       = {10.5220/0008984406920699},
  pages     = {692 -- 699},
  year      = {2020},
  abstract  = {The field of Cognitive Robotics aims at intelligent decision making of autonomous robots. It has matured over the last 25 or so years quite a bit. That is, a number of high-level control languages and architectures have emerged from the field. One concern in this regard is the action language GOLOG. GOLOG has been used in a rather large number of applications as a high-level control language ranging from intelligent service robots to soccer robots. For the lower level robot software, the Robot Operating System (ROS) has been around for more than a decade now and it has developed into the standard middleware for robot applications. ROS provides a large number of packages for standard tasks in robotics like localisation, navigation, and object recognition. Interestingly enough, only little work within ROS has gone into the high-level control of robots. In this paper, we describe our approach to marry the GOLOG action language with ROS. In particular, we present our architecture on inte grating golog++, which is based on the GOLOG dialect Readylog, with the Robot Operating System. With an example application on the Pepper service robot, we show how primitive actions can be easily mapped to the ROS ActionLib framework and present our control architecture in detail.},
  language  = {en}
}
@inproceedings{WalentaSchellekensFerreinetal.2017,
  author    = {Walenta, Robert and Schellekens, Twan and Ferrein, Alexander and Schiffer, Stefan},
  title     = {A decentralised system approach for controlling AGVs with ROS},
  series = {AFRICON, Proceedings},
  booktitle = {AFRICON, Proceedings},
  publisher = {IEEE},
  isbn      = {978-1-5386-2775-4},
  issn      = {2153-0033},
  doi       = {10.1109/AFRCON.2017.8095693},
  pages     = {1436 -- 1441},
  year      = {2017},
  language  = {en}
}
@inproceedings{NiemuellerReuterFerrein2016,
  author    = {Niemueller, Tim and Reuter, Sebastian and Ferrein, Alexander},
  title     = {Fawkes for the RoboCup Logistics League},
  series = {RoboCup 2015: Robot World Cup XIX},
  booktitle = {RoboCup 2015: Robot World Cup XIX},
  editor    = {Almeida, Luis},
  publisher = {Springer International Publishing},
  address   = {Cham},
  isbn      = {978-3-319-29339-4},
  doi       = {10.1007/978-3-319-29339-4_31},
  pages     = {365 -- 373},
  year      = {2016},
  language  = {en}
}
@article{FerreinSteinbauer2016,
  author    = {Ferrein, Alexander and Steinbauer, Gerald},
  title     = {Looking back on 20 Years of RoboCup},
  series = {KI - K{\"u}nstliche Intelligenz},
  volume    = {30},
  journal   = {KI - K{\"u}nstliche Intelligenz},
  number    = {3-4},
  publisher = {Springer},
  address   = {Berlin},
  issn      = {1610-1987},
  doi       = {10.1007/s13218-016-0443-y},
  pages     = {321 -- 323},
  year      = {2016},
  language  = {en}
}